Recognition of anxiety disorders by family physicians after rigorous medical record case extraction: results of the Netherlands Study of Depression and Anxiety

The capacity of cognitive tests to detect generalized anxiety disorder (GAD): A pilot study

Cognitive impairment remains understudied in generalized anxiety disorder (GAD), despite the high prevalence and substantial burden associated with this disorder. We aimed to assess cognitive impairment in patients with GAD and evaluate the ability of cognitive tests to detect this disorder. Because of its high rate of comorbidity, we also examined how other anxiety disorders and current major depressive episodes affected our results. We tested 263 consecutive general practice outpatients. We used the GAD-7 and the Mini International Neuropsychiatric Interview (MINI) to detect anxiety and mood disorders. We assessed cognitive performance with the Stroop test, a facial emotion recognition test, and the trail-making test (TMT). Compared to patients without GAD, patients with GAD were significantly slower to complete the TMT(B-A) and faster to recognize emotions, especially negative ones such as disgust and anger. When controlling for other anxiety disorders and current major depressive episode, GAD retained a significant effect on the TMT(B-A), but not on the emotion recognition test. The TMT(B-A) could detect GAD with good accuracy (area under the curve (AUC) = 0.83, maximal Youden's index = 0.56), which was by no means comparable to the GAD-7 (AUC = 0.97, Youden's index = 0.81). While it is not efficient enough to replace the GAD-7 as a diagnostic tool, the capacity of the TMT(B-A) to detect GAD emphasizes the importance of cognitive flexibility impairment in GAD.

Assessing mental health from registry data: What is the best proxy?

OBJECTIVE

Medical registries frequently underestimate the prevalence of health problems compared with surveys. This study aimed to determine the registry variables that can serve as a proxy for variables studied in a mental health survey.

MATERIALS AND METHODS

Prevalences of depressive symptoms, anxiety and psychoactive medication use from the 2018 Belgian Health Interview Survey (HIS) were compared with same-year prevalences from INTEGO, a Belgian primary care registry. Participants aged 15 and above were included. We assessed correlation using Spearman's rho (SR), and agreement using the intraclass correlation coefficient (ICC). We also calculated the limits of agreement (LOAs) for each comparison. HIS questions about depressive symptoms, anxiety and psychoactive medication use were compared with the following variables from INTEGO: symptom codes, diagnosis codes, free text, antidepressant/benzodiazepine prescriptions and the combinations symptom + diagnosis codes and symptom + diagnosis codes + free text, wherever relevant.

RESULTS AND DISCUSSION

Correlation between the HIS and INTEGO was generally high, except for anxiety. Agreement ranged from fair to poor, but increased when combining certain variables, by including free text, or by increasing the prescription frequency to resemble chronic use. Agreement remained poor when comparing questions about anxiety. Prevalences from INTEGO were mostly underestimates.

CONCLUSION

The external validity of medical registries can be poor, especially compared with survey data. A considerate choice of variables and prescription chronicity is needed to accurately use a registry as a surveillance tool for mental health.

Assessment of psychometric properties of the Huaxi Emotional-distress Index questionnaire (HEI)in a large sample of general hospital inpatients

OBJECTIVES

Huaxi Emotional-distress Index questionnaire (HEI) is a 9-item questionnaire designed to measure psychological distress. The present study aimed to validate the factor structure of the HEI and its reliability and validity using a large sample from inpatients of West China Hospital.

METHODS

HEI data were collected from inpatients of various departments at West China Hospital in 2019 through the hospital's data management platform (total sample, N = 55,396). The internal consistency reliability of the HEI was examined. Exploratory factor analysis (N = 27,696) and confirmatory factor analysis(N = 27,700) were conducted to validate the construct validity.

RESULTS

Three factors, namely depression (DEP), anxiety (ANX), and suicidal risk (SR), were extracted through exploratory factor analysis, which accounted for 79.55% of the total variance.The results of confirmatory factor analysis supported the fit for the three-component model oblique model as the best-fitting model compared with one-component model and two-component model. The internal consistency of the HEI was α =0.918. The internal consistencyα of ANX, DEP and SR is 0.87,0.814,0.843 respectively.

CONCLUSIONS

HEI is a validated and concise tool that serves a dual purpose of screening for mood disorders and assessing depressive and anxiety symptoms as well as suicidal risk among inpatients in Chinese general hospitals.

Provider-Documented Dyspnea in Intensive Care Unit After Lung Transplantation

BACKGROUND

Dyspnea is an important problem that might affect the clinical course after lung transplantation; however, the prevalence, risk factors, and relevant outcomes of dyspnea in the intensive care unit (ICU) after lung transplantation remain unknown.

METHODS

This retrospective, observational study enrolled consecutive patients aged ≥ 20 years who were admitted to the ICU after lung transplantation between January 2010 and December 2020. The main outcome measure was provider-documented dyspnea identified based on a comprehensive retrospective chart review to extract dyspnea episodes (e.g., documented words related to "dyspnea," "shortness of breath," or "breathlessness").

RESULTS

This study included 184 lung transplant recipients, including 115 bilateral (63%) and 69 single (37%) lung transplants. Fifty-four transplants were from living donors (29%), and 130 were from deceased donors (71%). Dyspnea was documented in 116 patients (63%). Multivariate analysis identified bilateral lung transplantation (odds ratio = 5.127; 95% confidence interval, 2.020-13.014; P < .001) as a risk factor for dyspnea. In addition, postoperative anxiety (odds ratio = 18.605; 95% confidence interval, 7.748-44.674; P < .001) was independently associated with dyspnea. Patients with documented dyspnea showed delayed rehabilitation (P < .001) and weaning from mechanical ventilation (P < .001) and a longer ICU stay (P < .001).

CONCLUSION

This study demonstrated that the prevalence of dyspnea in the ICU after lung transplantation was frequent and identified bilateral lung transplantation as a risk factor. Dyspnea caused a delay in rehabilitation and weaning from mechanical ventilation. Extensive evaluation and care for dyspnea and anxiety may enhance patient recovery.

Provider-Documented Anxiety in the ICU: Prevalence, Risk Factors, and Associated Patient Outcomes

PURPOSE

To determine the prevalence of provider-documented anxiety in critically ill patients, associated risk factors, and related patient outcomes.

METHOD

Chart review of 100 randomly sampled, adult patients, with a length of stay ≥48 hours in a medical or trauma/surgical intensive care unit (ICU). Provider-documented anxiety was identified based on a comprehensive retrospective chart review of the ICU stay, searching for any acute episode of anxiety (e.g., documented words related to anxiety, panic, and/or distress).

RESULTS

Of 100 patients, 45% (95% confidence interval: 35%-55%) had documented anxiety, with similar prevalence in medical vs. trauma/surgical ICU. Patients with documented anxiety more frequently had history of anxiety (22% vs. 4%, p = .004) and substance abuse (40% vs. 22%, p = .048). In the ICU, they had greater severity of illness (median (IQR) Acute Physiology Score 16(13,21) vs. 13(8,19), p = .018), screened positive for delirium at least once during ICU stay, (62% vs. 31%, p = .002), benzodiazepines and antipsychotics use (87% vs. 58%, p = .002; 33% vs. 13%, p = .013, respectively), and mental health consultation (31% vs. 18%, p = .132). These patients also had longer ICU and hospital lengths of stay (6(4,11) vs. 4(3,6), p<.001 and 18(10,30) vs. 10(6,16) days, p<.001, respectively) and less frequent discharge back to home (27% vs. 44%, p = .079).

CONCLUSIONS

Documented anxiety, occurring in almost half of ICU patients with length of stay ≥48 hours, was associated with a history of anxiety and/or substance abuse, and greater ICU severity of illness, delirium, psychiatric medications, and length of stay. Increased awareness along with more standardized protocols for assessment of anxiety in the ICU, as well as greater evaluation of non-pharmacological treatments for anxiety symptoms in the ICU are warranted.

Recognition of anxiety disorders in children: a cross-sectional vignette-based survey among general practitioners

OBJECTIVE

To quantify general practitioners' (GPs) sensitivity to anxiety disorders (ADs) when confronted with the range of symptoms common to children with ADs. Also, to explore GPs' conscious preferences and implicit tendencies for referral of children with ADs to mental healthcare.

DESIGN AND SETTING

In a cross-sectional vignette-based survey, all attendees of a Dutch continuing medical education conference for primary care physicians were presented with subtitled audio fragments of five vignettes that we constructed to mimic symptom presentation of children with ADs in general practice. We asked attendees to select per vignette the most plausible diagnoses and most adequate referral option, and for their general referral preferences when they suspect each of the most common mental health problems.

PARTICIPANTS

A sample of 229 GPs, resulting in a total of 1128 vignette evaluations.

MAIN OUTCOME MEASURE

GPs' selection rate of ADs in the five vignettes compared with a benchmark provided by mental health professionals (MHPs).

RESULTS

Overall, recognition of ADs was less likely in GPs compared with MHPs (OR=0.26, 95% CI 0.15 to 0.46). GPs varied in their recognition of anxiety, with 44.1% not once selecting anxiety as the probable presenting problem. When asked explicitly, 63.9% of the GPs reported that they would refer a child to mental healthcare when they suspect probable ADs. By contrast, only 12.0% of the GPs who recognised anxiety in the vignettes actually selected that referral option.

CONCLUSION

A significant fraction of GPs did not notice the depicted symptoms as anxiety. Despite the widespread prevalence of ADs, GPs seem to overlook anxiety already in their early diagnostic opinion. Improving GPs' familiarity with initial symptom presentation, ADs' base-rate, relevance and impact yields potential for timely recognition.

Can the Use of Bayesian Analysis Methods Correct for Incompleteness in Electronic Health Records Diagnosis Data? Development of a Novel Method Using Simulated and Real-Life Clinical Data

Background: Patient health information is collected routinely in electronic health records (EHRs) and used for research purposes, however, many health conditions are known to be under-diagnosed or under-recorded in EHRs. In research, missing diagnoses result in under-ascertainment of true cases, which attenuates estimated associations between variables and results in a bias toward the null. Bayesian approaches allow the specification of prior information to the model, such as the likely rates of missingness in the data. This paper describes a Bayesian analysis approach which aimed to reduce attenuation of associations in EHR studies focussed on conditions characterized by under-diagnosis.

Methods: Study 1: We created synthetic data, produced to mimic structured EHR data where diagnoses were under-recorded. We fitted logistic regression (LR) models with and without Bayesian priors representing rates of misclassification in the data. We examined the LR parameters estimated by models with and without priors. Study 2: We used EHR data from UK primary care in a case-control design with dementia as the outcome. We fitted LR models examining risk factors for dementia, with and without generic prior information on misclassification rates. We examined LR parameters estimated by models with and without the priors, and estimated classification accuracy using Area Under the Receiver Operating Characteristic.

Results: Study 1: In synthetic data, estimates of LR parameters were much closer to the true parameter values when Bayesian priors were added to the model; with no priors, parameters were substantially attenuated by under-diagnosis. Study 2: The Bayesian approach ran well on real life clinic data from UK primary care, with the addition of prior information increasing LR parameter values in all cases. In multivariate regression models, Bayesian methods showed no improvement in classification accuracy over traditional LR.

Conclusions: The Bayesian approach showed promise but had implementation challenges in real clinical data: prior information on rates of misclassification was difficult to find. Our simple model made a number of assumptions, such as diagnoses being missing at random. Further development is needed to integrate the method into studies using real-life EHR data. Our findings nevertheless highlight the importance of developing methods to address missing diagnoses in EHR data.

Factors contributing to the recognition of anxiety and depression in general practice

Background

Adequate recognition of anxiety and depression by general practitioners (GPs) can be improved. Research on factors that are associated with recognition is limited and shows mixed results. The aim of this study was to explore which patient and GP characteristics are associated with recognition of anxiety and depression.

Methods

We performed a secondary analysis on data from 444 patients who were recruited for a randomized trial. Recognition of anxiety and depression was defined in terms of information in the medical records, in patients who screened positive on the extended Kessler 10 (EK-10). A total of 10 patient and GP characteristics, measured at baseline, were tested and included in a multilevel regression model to examine their impact on recognition.

Results

Patients who reported a perceived need for psychological care (OR = 2.54, 95% CI 1.60–4.03) and those with higher 4DSQ distress scores (OR = 1.03; 95% CI 1.00–1.07) were more likely to be recognized. In addition, patients’ anxiety or depression was less likely to be recognized when GPs were less confident in their abilities to identify depression (OR = 0.97; 95% CI 0.95–0.99). Patients’ age, chronic medical condition, somatisation, severity of anxiety and depression, and functional status were not associated with the recognition of anxiety and depression.

Conclusions

There is room for improvement of the recognition of anxiety and depression. Quality improvement activities that focus on increasing GPs’ confidence in the ability to identify symptoms of distress, anxiety and depression, as part of care according to guidelines, may improve recognition.

Electronic supplementary material

The online version of this article (10.1186/s12875-018-0784-8) contains supplementary material, which is available to authorized users.

The concurrent validity of a new eDiagnostic system for mental disorders in primary care

BACKGROUND

An eDiagnostic system was implemented to classify mental disorders, to support general practitioners.

OBJECTIVE

Assessing the validity of the system, compared to the psychologists' judgment.

METHODS

Concurrent validity, using routinely collected data of 675 primary care patients with a suspicion of a mental disorder in the Netherlands. Four psychologists classified the patients according to the DSM-IV. Hundred records were randomly selected to investigate the inter-rater reliability among psychologists. To investigate the concurrent validity of the system the sensitivity, specificity, positive predictive values (PPVs), negative predictive values (NPVs) and Cohen's κ-values (κ-values) were calculated.

RESULTS

Inter-rater agreement between psychologists were fair to good or excellent. The system could correctly estimate the echelon (sensitivity range: 0.85-0.95, specificity range: 0.88-0.98) and correctly identify most Axis I classifications (sensitivity: 0.46-1.00, specificity: 0.75-0.99), except for Asperger's, sexual and adjustment disorders (sensitivity: 0.10-0.24, specificity: 0.97-0.99). It could determine the absence of a personality disorder (sensitivity: 0.81, specificity: 0.84, PPV: 0.77, NPV: 0.87 and κ-value: 0.65). The sensitivities and specificities for most specific personality disorders were good, but the PPVs for several specific Axis II classifications were low (PPV range: 0.06-0.77). The system was inaccurate in identifying the global assessment of functioning of patients (e.g. κ-values varied from 0.17-0.46).

CONCLUSIONS

Generally, the system can be seen as a valid instrument for most DSM-IV classifications in primary care patients. It could assist healthcare professionals in the assessment and classification of mental disorders. Future research should include comparison to an independently administered structured clinical interview.

Use of general practice services 5 years after an episode of mental illness: case-control study using electronic records

BACKGROUND

Depression, anxiety, and emotional distress occur frequently and are usually treated in general practice. Little has been reported about the long-term course of these conditions and the long-term use of medical services.

AIM

To follow up patients with depression, anxiety, and emotional distress in general practice for 5 years and examine the length and number of index episodes, prescribing behaviour, and the use of services in general practice.

DESIGN AND SETTING

A case-control study using data from electronic medical records.

METHOD

Three cohorts of patients with depression (n = 453), anxiety (n = 442), and emotional distress (n = 185) were compared against a cohort of control patients (n = 4156) during a 5-year follow-up from 2007 to 2011. The occurrence or recurrence of the index disorders, other psychological disorders or medical conditions, the numbers of prescriptions, and the number of contacts with the general practice were all examined.

RESULTS

Patients in the depression group had 1.1 followup episodes of depression, those in the anxiety group had 0.9 follow-up episodes of anxiety, and those in the emotional distress group had 0.5 follow-up episodes of emotional distress during the 5 years. All three groups had more consultations (for both psychological and somatic reasons) during each of the follow-up years than control patients. Furthermore, the groups with mental health disorders were given more prescriptions for psychopharmacological treatment.

CONCLUSION

Five years after the index episode in 2007, patients with an episode of depression, anxiety, or emotional distress are still not comparable with control patients, in terms of the prevalence of mental health conditions, the number of prescriptions, and healthcare use.

Validation of Self-Management Screening (SeMaS), a tool to facilitate personalised counselling and support of patients with chronic diseases

Background

A rising number of people with chronic conditions is offered interventions to enhance self-management. The responsiveness of individuals to these interventions depends on patient characteristics. We aimed to develop and validate a tool to facilitate personalised counselling and support for self-management in patients with chronic diseases in primary care.

Methods

We drafted a prototype of the tool for Self-Management Screening (SeMaS), comprising 27 questions that were mainly derived from validated questionnaires. To reach high content validity, we performed a literature review and held focus groups with patients and healthcare professionals as input for the tool. The characteristics self-efficacy, locus of control, depression, anxiety, coping, social support, and perceived burden of disease were incorporated into the tool. Three items were added to guide the type of support or intervention, being computer skills, functioning in groups, and willingness to perform self-monitoring. Subsequently, the construct and criterion validity of the tool were investigated in a sample of 204 chronic patients from two primary care practices. Patients filled in the SeMaS and a set of validated questionnaires for evaluation of SeMaS. The Patient Activation Measure (PAM-13), a generic instrument to measure patient health activation, was used to test the convergent construct validity.

Results

Patients had a mean age of 66.8 years and 46.6 % was female. 5.9 % did not experience any barrier to self-management, 28.9 % experienced one minor or major barrier, and 30.4 % two minor or major barriers. Compared to the criterion measures, the positive predictive value of the SeMaS characteristics ranged from 41.5 to 77.8 % and the negative predictive value ranged from 53.3 to 99.4 %. Crohnbach’s alpha for internal consistency ranged from 0.56 to 0.87, except for locus of control (α = 0.02). The regression model with PAM-13 as a dependent variable showed that the SeMaS explained 31.7 % (r² = 0.317) of the variance in the PAM-13 score.

Conclusions

SeMaS is a short validated tool that can signal potential barriers for self-management that need to be addressed in the dialogue with the patient. As such it can be used to facilitate personalised counselling and support to enhance self-management in patients with chronic conditions in primary care.

Electronic supplementary material

The online version of this article (doi:10.1186/s12875-015-0381-z) contains supplementary material, which is available to authorized users.

Generalized anxiety disorder in primary care: mental health services use and treatment adequacy

PURPOSE

Generalized Anxiety Disorder (GAD) is a common mental disorder in the primary care setting, marked by persistent anxiety and worries. The aims of this study were to: 1) examine mental health services utilisation in a large sample of primary care patients; 2) explore detection of GAD and minimal standards for pharmacological and psychological treatment adequacy based on recommendation from clinical practice guidelines; 3) examine correlates of treatment adequacy, i.e. predisposing, enabling and needs factors according to the Behavioural Model of Health Care Use.

METHODS

A sample of 373 adults meeting DSM-IV criteria for Generalized Anxiety Disorder in the past 12 months took part in this study. Data were drawn from the "Dialogue" project, a large primary care study conducted in 67 primary care clinics in Quebec, Canada. Following a mental health screening in medical clinics (n = 14833), patients at risk of anxiety or depression completed the Composite International Diagnostic Interview-Simplified (CIDIS). Multilevel logistic regression models were developed to examine correlates of treatment adequacy for pharmacological and psychological treatments.

RESULTS

Results indicate that 52.5 % of participants were recognized as having GAD by a healthcare professional in the past 12 months, and 36.2 % of the sample received a pharmacological (24.4 %) and/or psychological treatment (19.2 %) meeting indicators based on clinical practice guidelines recommendations. The detection of GAD by a health professional and the presence of comorbid depression were associated with overall treatment adequacy.

CONCLUSIONS

This study suggests that further efforts towards GAD detection could lead to an increase in the delivery of evidence-based treatments. Key targets for improvement in treatment adequacy include regular follow up of patients with a GAD medication and access to psychotherapy from the primary care setting.

DETECTION OF ANXIETY DISORDERS IN PRIMARY CARE: A META-ANALYSIS OF ASSISTED AND UNASSISTED DIAGNOSES

BACKGROUND

Evidence suggests that general practitioners (GPs) fail to diagnose up to half of common mental disorder cases. Yet no previous research has systematically summarized the evidence in the case of anxiety disorders. The aim of this review was to systematically assess and meta-analyze the diagnostic accuracy of GPs' assisted (i.e., using severity scales/diagnostic instruments) and unassisted (without such tools) diagnoses of anxiety disorders.

METHODS

Systematic review (PROSPERO registry CRD42013006736) was conducted. Embase, Ovid Journals--Ovid SP Medline, Pubmed, PsycINFO, Scopus, Web of Science, and Science Direct were searched from January 1980 through June 2014. Seven investigators, working in pairs, evaluated studies for eligibility. The quality of included studies was assessed with the Quality Assessment of Diagnostic Accuracy Studies tool version 2 (QUADAS-2). The main outcome measures were sensitivity and specificity of clinical diagnoses of any anxiety disorder. We pooled sensitivity and specificity levels from included studies using bivariate meta-analyses.

RESULTS

Twenty-four studies were included in the meta-analysis with a total sample of 34,902 patients. Pooled sensitivity and specificity were estimated at 44.5% (95% CI 33.7-55.9%) and 90.8% (95% CI 87-93.5%). GPs' sensitivity was higher when diagnoses were assisted (63.6%, 95% CI 50.3-75.1%) than when unassisted (30.5%, 95% CI 20.7-42.5%) to the expense of some specificity loss (87.9%, 95% CI 81.3-92.4% vs. 91.4%, 95% CI 86.6-94.6%, respectively). Identification rates remained constant over time (P-value = .998).

CONCLUSIONS

The use of diagnostic tools might improve detection of anxiety disorders in "primary care."

Health professionals' detection of depression and anxiety in their patients with diabetes: The influence of patient, illness and psychological factors

This study examines how often depression and anxiety, in patients with diabetes, are detected by health professionals; and whether detection is influenced by patient characteristics (age, gender), illness factors (duration of illness, diabetes control), and self-reported levels of depression and anxiety. Prevalence rates of clinically significant depression and anxiety were high (57% and 36%, respectively); however, of those identified, only 44 and 36 per cent, respectively, were detected by staff as depressed or anxious. The only significant predictors of detection were severity of depressive and anxious symptoms. Patient and illness characteristics did not influence whether professionals identified emotional problems in their patients.

Quality of primary care for resettled refugees in the Netherlands with chronic mental and physical health problems: a cross-sectional analysis of medical records and interview data

BACKGROUND

A high prevalence of mental and physical ill health among refugees resettled in the Netherlands has been reported. With this study we aim to assess the quality of primary healthcare for resettled refugees in the Netherlands with chronic mental and non-communicable health problems, we examined: a) general practitioners' (GP) recognition of common mental disorders (CMD) (depression and anxiety, and post-traumatic stress disorder (PTSD) symptoms); b) patients' awareness of diabetes type II (DMII) and hypertension (HT); and c) GPs' adherence to guidelines for CMD, DMII and HT.

METHODS

From 172 refugees resettled in the Netherlands, interview data (2010-2011) and medical records (n = 106), were examined. Inclusion was based on medical record diagnoses for DMII and HT, and on questionnaire-based CMD measures (Hopkins Symptom Checklist for depression and anxiety; Harvard Trauma Questionnaire for PTSD). GP recognition of CMD was calculated as the number of CMD cases registered in the medical record compared with those found in interviews. Patient awareness of HT and DMII was scored as the percentage of subjects diagnosed by the GP who reported their condition during the interview. GPs' adherence to guidelines for CMD, DMII and HT was measured using established indicators.

RESULTS

We identified 37 resettled refugees with CMD of which 18 (49%) had been recognised by the GP. We identified 16 refugees with DMII and 14 with HT from the medical record; 24 (80%) were aware of their condition. Thirty-five out of these 53 (66%) resettled refugees with chronic mental and non-communicable disorders received guideline-adherent treatment.

CONCLUSION

This study shows that awareness in resettled refugees of GP diagnosed DMII and HT is high, whereas GP recognition of CMD and overall guideline adherence are moderate.

To what extent does the anxiety scale of the Four-Dimensional Symptom Questionnaire (4DSQ) detect specific types of anxiety disorder in primary care? A psychometric study

BACKGROUND

Anxiety scales may help primary care physicians to detect specific anxiety disorders among the many emotionally distressed patients presenting in primary care. The anxiety scale of the Four-Dimensional Symptom Questionnaire (4DSQ) consists of an admixture of symptoms of specific anxiety disorders. The research questions were: (1) Is the anxiety scale unidimensional or multidimensional? (2) To what extent does the anxiety scale detect specific DSM-IV anxiety disorders? (3) Which cut-off points are suitable to rule out or to rule in (which) anxiety disorders?

METHODS

We analyzed 5 primary care datasets with standardized psychiatric diagnoses and 4DSQ scores. Unidimensionality was assessed through confirmatory factor analysis (CFA). We examined mean scores and anxiety score distributions per disorder. Receiver operating characteristic (ROC) analysis was used to determine optimal cut-off points.

RESULTS

Total n was 969. CFA supported unidimensionality. The anxiety scale performed slightly better in detecting patients with panic disorder, agoraphobia, social phobia, obsessive compulsive disorder (OCD) and post traumatic stress disorder (PTSD) than patients with generalized anxiety disorder (GAD) and specific phobia. ROC-analysis suggested that ≥4 was the optimal cut-off point to rule out and ≥10 the cut-off point to rule in anxiety disorders.

CONCLUSIONS

The 4DSQ anxiety scale measures a common trait of pathological anxiety that is characteristic of anxiety disorders, in particular panic disorder, agoraphobia, social phobia, OCD and PTSD. The anxiety score detects the latter anxiety disorders to a slightly greater extent than GAD and specific phobia, without being able to distinguish between the different anxiety disorder types. The cut-off points ≥4 and ≥10 can be used to separate distressed patients in three groups with a relatively low, moderate and high probability of having one or more anxiety disorders.

eDiagnostics: a promising step towards primary mental health care

INTRODUCTION

There is a growing interest in eHealth applications in daily health care. Considering that a psychological examination, to a large extent, consists of filling out questionnaires, the use of the Internet seems logical. We evaluated an eDiagnostic system for mental health disorders that has recently been introduced in primary care in the Netherlands.

METHODS

We monitored the diagnoses produced by the system. Evaluation questionnaires from both GPs/practice nurses (PNs) and patients were collected. In addition, we compared the advice produced by the GPs/PNs and the advice produced by the system.

RESULTS

The most prevalent disorders were mood, anxiety and somatoform disorders (n = 353). Patients (n = 242; 74% response rate) were moderately enthusiastic about the eHealth approach, and GPs/PNs (n = 49, 72% response rate per practice) were very enthusiastic. Patients showed no clear preference for a face-to-face consultation with a psychologist over an eDiagnostic system. GPs/PNs felt strengthened in their control function. In most cases, the system gave a different echelon advice (i.e. referral to primary or secondary mental health care) than the GPs/PNs (κ = 0.13, P = 0.003). Nevertheless, GPs/PNs accept the results of the examination and the advice given.

CONCLUSIONS

Using the Internet to diagnose mental health problems in primary care seems very promising. This system of using eDiagnostics before referral to a mental health institution may change the management of mental health care. Further research should investigate whether this tool is valid, reliable and (cost) effective.

The role of somatic health problems in the recognition of depressive and anxiety disorders by general practitioners

BACKGROUND

Recognition of depression and anxiety by general practitioners (GPs) is suboptimal and there is uncertainty as to whether particular somatic health problems hinder or facilitate GP recognition. The objective of this study was to investigate the associations between somatic health problems and GP recognition of depression and anxiety.

METHODS

We studied primary care patients with a DSM-IV based psychiatric diagnosis of depressive or anxiety disorder during a face-to-face interview (n=778). GPs' registrations of depression and anxiety diagnoses, based on medical file extractions, were compared with the DSM-IV based psychiatric diagnoses as reference standard. Somatic health problems were based on self-report of several chronic somatic diseases and pain symptoms, using the Chronic Pain Grade (CPG), during the interview.

RESULTS

Depression and anxiety was recognized in sixty percent of the patients. None of the health problems were negatively associated with recognition. Greater severity of pain symptoms (OR=1.18, p=.02), and chest pain (OR=1.56, p=.02), in particular, were associated with more GP recognition of depression and anxiety. Mediation analyses showed that depression and anxiety in these patients were better recognized through the presence of more severe psychiatric symptoms.

LIMITATIONS

Some specific chronic diseases had low prevalence.

CONCLUSIONS

This study shows that the presence of particular chronic diseases does not influence GP recognition of depression and anxiety. GPs tend to recognize depression and anxiety better in patients with pain symptoms, partly due to more severe psychiatric symptoms among those with pain.

Screening high-risk patients and assisting in diagnosing anxiety in primary care: the Patient Health Questionnaire evaluated

BACKGROUND

Questionnaires may help in detecting and diagnosing anxiety disorders in primary care. However, since utility of these questionnaires in target populations is rarely studied, the Patient Health Questionnaire anxiety modules (PHQ) were evaluated for use as: a) a screener in high-risk patients, and/or b) a case finder for general practitioners (GPs) to assist in diagnosing anxiety disorders.

METHODS

A cross-sectional analysis was performed in 43 primary care practices in the Netherlands. The added value of the PHQ was assessed in two samples: 1) 170 patients at risk of anxiety disorders (or developing them) according to their electronic medical records (high-risk sample); 2) 141 patients identified as a possible 'anxiety case' by a GP (GP-identified sample). All patients completed the PHQ and were interviewed using the Mini International Neuropsychiatric interview to classify DSM-IV anxiety disorders. Psychometric properties were calculated, and a logistic regression analysis was performed to assess the diagnostic value of the PHQ.

RESULTS

Using only the screening questions of the PHQ, the area under the curve was 83% in the high-risk sample. In GP-identified patients the official algorithm showed the best characteristics with an area under the curve of 77%. Positive screening questions significantly increased the odds of an anxiety disorder diagnosis in high-risk patients (odds ratio = 23.4; 95% confidence interval 6.9 to 78.8) as did a positive algorithm in GP-identified patients (odds ratio = 13.9; 95% confidence interval 3.8 to 50.6).

CONCLUSIONS

The PHQ screening questions can be used to screen for anxiety disorders in high-risk primary care patients. In GP-identified patients, the benefit of the PHQ is less evident.